1 to 10 of 218 Results
Nov 25, 2021 -
Supplementary material for 'Umbrella sampling and double decoupling data for methanol binding to Candida antarctica lipase B'
Gzip Archive - 291.5 MB -
MD5: 8d02b26f3e61997c947c6fecbae2a403
Contains simulation data (in-/output, scripts) from alchemical double decoupling |
Nov 25, 2021 -
Supplementary material for 'Umbrella sampling and double decoupling data for methanol binding to Candida antarctica lipase B'
Gzip Archive - 3.4 MB -
MD5: c700659d5c6c890fdac4b1d9dff636ce
Contains simulation data (in-/output, scripts) from Umbrella Sampling |
Nov 24, 2021 -
Code of the tBME method
RAR Archive - 299.3 MB -
MD5: 8f35859f9033bfb1c1be3163f577f617
This file contains a function that calculates tBME values and the data (model ensemble, three synthetic observed datasets, a real observed dataset). |
Nov 24, 2021 -
Code of the tBME method
RAR Archive - 245.4 KB -
MD5: 215dd1b236398f8c6638b322e7db88f8
Data for the publication "Diagnosis of model errors with a sliding time-window Bayesian analysis" in Journal Water Resource Research. This folder includes the files and data to generate the tBME analysis plots for Case 1, Case 2, Case 3, and real data Case. |
Nov 24, 2021 -
Code for relative permeabilities for two-phase flow between parallel plates with slip conditions
Objective-C Source Code - 771 B -
MD5: 4023c6b9ebbe56673b683e3e6cc127b5
Example script on how to use relativePermeabilities.m |
Nov 24, 2021 -
Code for relative permeabilities for two-phase flow between parallel plates with slip conditions
Adobe PDF - 160.5 KB -
MD5: 295831a59379d0f398f7dbe168a59b65
Underlying assumptions behind the relative permeabilities |
Nov 24, 2021 -
Code for relative permeabilities for two-phase flow between parallel plates with slip conditions
Objective-C Source Code - 4.3 KB -
MD5: f05cb34f371fe59b9208e7b5ea9f42a4
Calculation of relative permeabilities |
Oct 15, 2021 -
Code for: Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments
Python Source Code - 2.8 KB -
MD5: 43201d1bd5e849ffc4b7794c6ab8e87c
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Oct 15, 2021 -
Code for: Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments
Unknown - 89 B -
MD5: 8250c6756d6506ffa4b66dd979abe8eb
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Oct 15, 2021 -
Code for: Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments
Python Source Code - 19.4 KB -
MD5: e29400ad67a376583c46cbf02660672d
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